AsyNCE
Author:
Affiliation:
1. Alibaba Group, Beijing, China
2. Institute of Automation, Chinese Academy of Sciences, Beijing, China
Funder
the National Natural Science Foundation of China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3474085.3481539
Reference42 articles.
1. Junwen Chen Wentao Bao and Yu Kong. 2020 a. Activity-driven Weakly-Supervised Spatio-Temporal Grounding from Untrimmed Videos. In MM. 3789--3797. Junwen Chen Wentao Bao and Yu Kong. 2020 a. Activity-driven Weakly-Supervised Spatio-Temporal Grounding from Untrimmed Videos. In MM. 3789--3797.
2. Jingyuan Chen Xinpeng Chen Lin Ma Zequn Jie and Tat-Seng Chua. 2018. Temporally Grounding Natural Sentence in Video. In EMNLP. 162--171. Jingyuan Chen Xinpeng Chen Lin Ma Zequn Jie and Tat-Seng Chua. 2018. Temporally Grounding Natural Sentence in Video. In EMNLP. 162--171.
3. c. A Simple Framework for Contrastive Learning of Visual Representations;Chen Ting;ICML,2020
4. Zhenfang Chen Lin Ma Wenhan Luo and Kwan-Yee Kenneth Wong. 2019. Weakly-Supervised Spatio-Temporally Grounding Natural Sentence in Video. In ACL. Zhenfang Chen Lin Ma Wenhan Luo and Kwan-Yee Kenneth Wong. 2019. Weakly-Supervised Spatio-Temporally Grounding Natural Sentence in Video. In ACL.
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4. Inverse Compositional Learning for Weakly-supervised Relation Grounding;2023 IEEE/CVF International Conference on Computer Vision (ICCV);2023-10-01
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